June 2, 2021
Nisha has spent the last five years working on deep learning techniques for machine learning and computer vision tasks. She has been working with facial recognition technology since 2010.
Critical projects that Nisha has been involved with include DNA analysis for facial imagery and child face recognition for child trafficking application. Other areas of focus for Nisha consisted of: through windshield driver recognition, emotion detection, large scale evaluations for racial/ethnicity bias, age bias, plug and play open source algorithm technology, identical twin distinguishing facial markers, and fine grained Asian ethnicity classification.
Nisha holds a Doctor of Philosophy in Computer Science and Engineering, Master of Science in Computer Science and Engineering, Master of Science in Electrical Engineering, and Bachelor of Engineering in Electronics and Communication.
Nisha will be a key leader in the fast development of the technologies that Trueface offers in the science of facial recognition.
Riderflex offers congratulations to both Trueface and Nisha on this great partnership.
At Trueface, we teach computers to see like humans; interpreting the data they ingest. Once trained to understand the visual data in question, computers help businesses and agencies make instant decisions, allowing businesses to cut costs and agencies to redistribute human capital to higher-functioning tasks.
Since day one, Trueface has been focused on achieving equal facial recognition performance for all. We aren’t there just yet, but we are getting close. Our on-premise technology allows for flexible deployments within our clients’ environments on hardware, in their cloud, at the edge, and even offline.
Our clients choose Trueface because we are committed to the responsible deployment of computer vision technology and they want to ensure their businesses and their customers are benefiting from the advancements of artificial intelligence.
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